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Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...
Recall that an important assumption of the linear regression model is that the errors (residuals) are normally distributed. That means some of the residuals are positive, some are negative, but most ...
Some regression isn’t great, though. If you want a fun historical example, go back to 2002, when Barry Bonds and Rich Aurilia combined for 110 home runs, the second-highest combined total from ...